CT影像组学在孤立性肺结节中的研究进展(5)
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(收稿日期：2019-06-09) (本文編辑：程旭然), 百拇医药(林天武 吴佩琪)
[15] Wang Z，Xin J，Sun P，et al.Improved lung nodule diagnosis accuracy using lung CT images with uncertain class[J].Comput Methods Programs Biomed，2018，162：197-209.
[16] Causey J L，Zhang J，Ma S，et al.Highly accurate model for prediction of lung nodule malignancy with CT scans[J].Sci Rep，2018，8(1)：9286.
[17] Li Q，Fan L，Cao E T，et al.Quantitative CT analysis of pulmonary pure ground-glass nodule predicts histological invasiveness[J].Eur J Radiol，2017，89：67-71.
[18] Yagi T，Yamazaki M，Ohashi R，et al.HRCT texture analysis for pure or part-solid ground-glass nodules：distinguishability of adenocarcinoma in situ or minimally invasive adenocarcinoma from invasive adenocarcinoma[J].Jpn J Radiol，2018，36(2)：113-121.
[19] Mei X，Wang R，Yang W，et al.Predicting malignancy of pulmonary ground-glass nodules and their invasiveness by random forest[J].J Thorac Dis，2018，10(1)：458-463.
[20] Zhao W，Yang J，Sun Y，et al.3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas[J].Cancer Res，2018，78(24)：6881-6889.
(收稿日期：2019-06-09) (本文編辑：程旭然), 百拇医药(林天武 吴佩琪)